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Data Analyst with less than a year in Business Analytics with strong foundation in data analysis, fi
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PGDM candidate with a strong foundation in business analytics and finance, supported by a Bachelor of Commerce (B. Com), with practical sales experience. Skilled in data analysis, research, customer engagement, and applying analytical insights to business decisions.
St. Teresa's College (Autonomous) Ernakulam
PGDM in Business Analytics · Business Analytics
N/A – Present
K.M.M College of Arts and Science
Bachelor Of Commerce (B. Com) · Commerce
N/A – Present
TRANSPORT IN KOCHI: EVALUATING KOCHI METRO PHASE 2 AND WATER METRO
June 21, 2026 – Present
Analysing ridership patterns and traffic congestion using survey and operational data. Designing questionnaires and performing data cleaning and statistical analysis. Creating reports and visual summaries to support transport planning decisions.
CLUSTERING ANALYSIS OF SOCIAL MEDIA SELLERS (PG PROJECT)
June 21, 2026 – Present
Applied K-Means clustering in R on engagement metrics (reach, reactions, comments, frequency). Performed data preprocessing and exploratory analysis to prepare datasets. Identified performance-based seller segments and key engagement drivers.
Data Science & Analytics
HP LIFE (HP Foundation)
June 1, 2026 – Present
Fundamentals of Digital Marketing
Google Digital Garage
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's project diversity, ranging from urban transport analysis to social media seller clustering, indicates adaptability and a broad interest in applying analytical skills across different domains. The blend of academic projects and professional experience (even if limited in direct data analyst roles) suggests a proactive learning approach and a willingness to engage with real-world problems. The certifications in Data Science & Analytics and Digital Marketing further demonstrate a commitment to continuous learning and a potentially good fit for a dynamic, data-driven environment.
Soft Skills & Operational Fit
The candidate demonstrates professional skills in client relationship management, business development, performance monitoring, training, and reporting. Soft skills include communication, teamwork, adaptability, and problem-solving, which are beneficial for operational roles. The project experience in transport planning and social media analysis indicates an ability to work with diverse datasets and apply analytical insights.